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2204.00570
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Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation
International Conference on Machine Learning (ICML), 2022
1 April 2022
Kendrick Shen
Robbie Jones
Ananya Kumar
Sang Michael Xie
Jeff Z. HaoChen
Tengyu Ma
Abigail Z. Jacobs
SSL
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Papers citing
"Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation"
50 / 52 papers shown
Revisiting Theory of Contrastive Learning for Domain Generalization
Ali Alvandi
Mina Rezaei
OOD
SSL
267
0
0
02 Dec 2025
On the Alignment Between Supervised and Self-Supervised Contrastive Learning
Achleshwar Luthra
Priyadarsi Mishra
Tomer Galanti
SSL
212
1
0
09 Oct 2025
Discovering Hierarchy-Grounded Domains with Adaptive Granularity for Clinical Domain Generalization
Pengfei Hu
Xiaoxue Han
Fei Wang
Yue Ning
OOD
484
2
0
08 Jun 2025
An Augmentation-Aware Theory for Self-Supervised Contrastive Learning
Jingyi Cui
Hongwei Wen
Yisen Wang
SSL
235
2
0
28 May 2025
Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces
Ruoqi Wang
Haitao Wang
Shaojie Guo
Qiong Luo
OOD
323
0
0
18 May 2025
Gradual Domain Adaptation for Graph Learning
Pui Ieng Lei
Ximing Chen
Yijun Sheng
Yanyan Liu
J. Guo
Zhiguo Gong
OOD
593
1
0
29 Jan 2025
Difficult Examples Hurt Unsupervised Contrastive Learning: A Theoretical Perspective
Yi-Ge Zhang
Jingyi Cui
Qiran Li
Yisen Wang
SSL
360
0
0
02 Jan 2025
Bridging OOD Detection and Generalization: A Graph-Theoretic View
Neural Information Processing Systems (NeurIPS), 2024
Han Wang
Yixuan Li
CML
373
5
0
26 Sep 2024
Prototypical Partial Optimal Transport for Universal Domain Adaptation
AAAI Conference on Artificial Intelligence (AAAI), 2023
Yucheng Yang
Xiang Gu
Jian Sun
OT
390
21
0
02 Aug 2024
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
Tianren Zhang
Chujie Zhao
Guanyu Chen
Yizhou Jiang
Feng Chen
OOD
MLT
OODD
547
11
0
05 Jun 2024
When and How Does In-Distribution Label Help Out-of-Distribution Detection?
Xuefeng Du
Yiyou Sun
Shouqing Yang
393
11
0
28 May 2024
Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation
Kimia Hamidieh
Haoran Zhang
Swami Sankaranarayanan
Elisa Kreiss
369
4
0
28 May 2024
SF(DA)
2
^2
2
: Source-free Domain Adaptation Through the Lens of Data Augmentation
Uiwon Hwang
Jonghyun Lee
Juhyeon Shin
Sungroh Yoon
324
27
0
16 Mar 2024
Bridging Domains with Approximately Shared Features
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Ziliang Samuel Zhong
Xiang Pan
Qi Lei
OOD
339
2
0
11 Mar 2024
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?
Rheeya Uppaal
Yixuan Li
Junjie Hu
533
7
0
31 Jan 2024
Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations
International Conference on Machine Learning (ICML), 2024
Helen Qu
Sang Michael Xie
316
6
0
08 Jan 2024
Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift
Saurabh Garg
Amrith Rajagopal Setlur
Zachary Chase Lipton
Sivaraman Balakrishnan
Virginia Smith
Aditi Raghunathan
SSL
315
12
0
06 Dec 2023
Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training
Computer Vision and Pattern Recognition (CVPR), 2023
Arun V. Reddy
William Paul
Corban Rivera
Ketul Shah
Celso M. de Melo
Rama Chellappa
637
13
0
05 Dec 2023
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning
Neural Information Processing Systems (NeurIPS), 2023
Yiyou Sun
Zhenmei Shi
Shouqing Yang
OffRL
268
33
0
06 Nov 2023
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data
Neural Information Processing Systems (NeurIPS), 2023
Cheng-Hao Tu
Hong-You Chen
Zheda Mai
Shitian Zhao
Vardaan Pahuja
Tanya Berger-Wolf
Song Gao
Charles V. Stewart
Yu-Chuan Su
Wei-Lun Chao
CLL
244
8
0
02 Nov 2023
Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey
IEEE Communications Surveys and Tutorials (COMST), 2023
Sicong Liu
Bin Guo
Cheng Fang
Ziqi Wang
Shiyan Luo
Zimu Zhou
Zhiwen Yu
AI4CE
356
42
0
27 Sep 2023
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis
International Conference on Machine Learning (ICML), 2023
Yiyou Sun
Zhenmei Shi
Yingyu Liang
Shouqing Yang
243
25
0
09 Aug 2023
Substance or Style: What Does Your Image Embedding Know?
Cyrus Rashtchian
Charles Herrmann
Chun-Sung Ferng
Ayan Chakrabarti
Dilip Krishnan
Deqing Sun
Da-Cheng Juan
Andrew Tomkins
204
7
0
10 Jul 2023
Modularity Trumps Invariance for Compositional Robustness
I. Mason
Anirban Sarkar
Tomotake Sasaki
Xavier Boix
OOD
324
1
0
15 Jun 2023
Rethinking Weak Supervision in Helping Contrastive Learning
International Conference on Machine Learning (ICML), 2023
Jingyi Cui
Weiran Huang
Yifei Wang
Yisen Wang
NoLa
SSL
325
19
0
07 Jun 2023
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression
International Conference on Learning Representations (ICLR), 2023
Runtian Zhai
Bing Liu
Andrej Risteski
Zico Kolter
Pradeep Ravikumar
SSL
398
18
0
01 Jun 2023
HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts
ACM Multimedia (ACM MM), 2023
Shaokun Zhang
Yiran Wu
Zhonghua Zheng
Qingyun Wu
Chi Wang
OOD
296
8
0
28 May 2023
Matrix Information Theory for Self-Supervised Learning
International Conference on Machine Learning (ICML), 2023
Yifan Zhang
Zhi-Hao Tan
Jingqin Yang
Weiran Huang
Yang Yuan
SSL
524
26
0
27 May 2023
MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Zhenrui Yue
Huimin Zeng
Yang Zhang
Lanyu Shang
Dong Wang
242
27
0
22 May 2023
Benchmarking Low-Shot Robustness to Natural Distribution Shifts
IEEE International Conference on Computer Vision (ICCV), 2023
Aaditya K. Singh
Kartik Sarangmath
Prithvijit Chattopadhyay
Judy Hoffman
OOD
347
3
0
21 Apr 2023
Towards Realizing the Value of Labeled Target Samples: a Two-Stage Approach for Semi-Supervised Domain Adaptation
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Mengqun Jin
Kai Li
Shuyan Li
Chunming He
Xiu Li
208
1
0
21 Apr 2023
UniTS: A Universal Time Series Analysis Framework with Self-supervised Representation Learning
Zhiyu Liang
Cheng Liang
Zheng Liang
Hongzhi Wang
SSL
AI4TS
138
1
0
24 Mar 2023
Unsupervised domain adaptation by learning using privileged information
Adam Breitholtz
Anton Matsson
Fredrik D. Johansson
OOD
294
4
0
16 Mar 2023
ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations
International Conference on Learning Representations (ICLR), 2023
Xuyang Zhao
Tianqi Du
Yisen Wang
Jun Yao
Weiran Huang
358
14
0
02 Mar 2023
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning
International Conference on Learning Representations (ICLR), 2023
Zhenmei Shi
Jiefeng Chen
Kunyang Li
Jayaram Raghuram
Xi Wu
Yingyu Liang
S. Jha
SSL
240
28
0
28 Feb 2023
InfoNCE Loss Provably Learns Cluster-Preserving Representations
Annual Conference Computational Learning Theory (COLT), 2023
Advait Parulekar
Liam Collins
Karthikeyan Shanmugam
Aryan Mokhtari
Sanjay Shakkottai
SSL
298
57
0
15 Feb 2023
Data Selection for Language Models via Importance Resampling
Neural Information Processing Systems (NeurIPS), 2023
Sang Michael Xie
Shibani Santurkar
Tengyu Ma
Abigail Z. Jacobs
748
312
0
06 Feb 2023
Contrast and Clustering: Learning Neighborhood Pair Representation for Source-free Domain Adaptation
Yuqi Chen
Xiangbin Zhu
Yonggang Li
Yingjian Li
H. Fang
SSL
462
4
0
31 Jan 2023
ManyDG: Many-domain Generalization for Healthcare Applications
International Conference on Learning Representations (ICLR), 2023
Chaoqi Yang
M. P. M. Brandon Westover
Jimeng Sun
OOD
CML
271
33
0
21 Jan 2023
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
Neural Information Processing Systems (NeurIPS), 2022
Huaxiu Yao
Caroline Choi
Bochuan Cao
Yoonho Lee
Pang Wei Koh
Chelsea Finn
OOD
406
115
0
25 Nov 2022
Cross-domain Transfer of defect features in technical domains based on partial target data
International Journal of Prognostics and Health Management (IJPHM), 2022
T. Schlagenhauf
Tim Scheurenbrand
233
2
0
24 Nov 2022
First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains
International Conference on Learning Representations (ICLR), 2022
Kefan Dong
Tengyu Ma
OOD
233
23
0
21 Nov 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness
Francesco Pinto
Harry Yang
Ser-Nam Lim
Juil Sock
P. Dokania
UQCV
352
40
0
29 Jun 2022
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency
Neural Information Processing Systems (NeurIPS), 2022
Viraj Prabhu
Sriram Yenamandra
Aaditya K. Singh
Judy Hoffman
190
17
0
16 Jun 2022
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
International Conference on Learning Representations (ICLR), 2022
Yilmazcan Ozyurt
Stefan Feuerriegel
Ce Zhang
AI4TS
457
75
0
13 Jun 2022
Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis
Neural Information Processing Systems (NeurIPS), 2022
Mengwei Ren
Neel Dey
Martin Styner
K. Botteron
Guido Gerig
404
25
0
09 Jun 2022
On the duality between contrastive and non-contrastive self-supervised learning
International Conference on Learning Representations (ICLR), 2022
Q. Garrido
Yubei Chen
Adrien Bardes
Laurent Najman
Yann LeCun
SSL
367
121
0
03 Jun 2022
Ensemble diverse hypotheses and knowledge distillation for unsupervised cross-subject adaptation
Information Fusion (Inf. Fusion), 2022
Kuangen Zhang
Jiahong Chen
Jing Wang
Xinxing Chen
Yuquan Leng
Clarence W. de Silva
Chenglong Fu
179
6
0
15 Apr 2022
Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations
Neural Information Processing Systems (NeurIPS), 2022
Jeff Z. HaoChen
Colin Wei
Ananya Kumar
Tengyu Ma
325
48
0
06 Apr 2022
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
Neural Information Processing Systems (NeurIPS), 2021
Jeff Z. HaoChen
Colin Wei
Adrien Gaidon
Tengyu Ma
SSL
865
385
0
08 Jun 2021
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